Analyst Fraud Risk Systems

CORE PROFILE

Responsible for overseeing, administering, and maintaining Anti-Fraud-owned platforms and systems to ensure they support effective fraud monitoring, controls execution, and operational reliability. Serves as the main coordination point for Fraud Controls-related concerns housed in these platforms and systems, including issues or requests routed by Anti-Fraud Investigations teams for assessment, configuration support, and resolution follow-through.

NATURE OF WORK

• Administer and oversee Anti-Fraud-owned platforms and systems to ensure fraud controls, workflows, access, and configurations remain aligned with Anti-Fraud operating requirements.
• Serve as the coordination point for Fraud Controls-related concerns raised by Anti-Fraud Investigations teams, including triage, assessment, routing, tracking, and resolution follow-through.
• Oversee operational tools used by Investigation teams, including those supported by SQL and Python, to help sustain accurate, controlled, and repeatable fraud operations processes.
• Coordinate closely with Technology teams on system fixes, enhancements, releases, and enterprise infrastructure changes that may affect Anti-Fraud platforms, controls, or investigation workflows.
• Support infrastructure and application change management activities by reviewing potential operational impact, validating fraud-control requirements, and ensuring appropriate stakeholder coordination before and after implementation.
• Monitor platform behavior, job runs, alerts, and system outputs to identify issues, validate expected performance, and escalate anomalies that may affect fraud detection, prevention, or investigation support.
• Maintain documentation of system configurations, operational procedures, change records, known issues, and resolution actions to support traceability, audit readiness, and knowledge transfer.
• Identify opportunities to improve platform administration, script governance, issue management, and coordination processes as Anti-Fraud requirements, fraud patterns, and technology environments evolve.

DISPLAYED SKILL MASTERY

• Regulatory, Control, and Fraud Domain Awareness: Apply sound understanding of fraud typologies, investigation workflows, control objectives, regulatory expectations, and governance requirements when supporting Anti-Fraud platforms and system changes.
• Clear Communication and Stakeholder Facilitation: Communicate system issues, fraud-control concerns, change impacts, and recommended actions clearly to stakeholders within and outside Anti-Fraud; lead discussions, align next steps, and ensure concerns are tracked through resolution.
• Fraud Systems and Technology Familiarity: Understand how fraud controls operate within Anti-Fraud-owned platforms, including how access, configurations, rules, releases, incidents, and infrastructure changes may affect fraud detection, prevention, and investigation support.
• SQL, Python, and Basic Data Analysis: Review SQL- and Python-supported scripts, operational tools, job outputs, logs, alerts, and system data sufficiently to support issue validation, monitoring, impact assessment, and controlled coordination with Technology when needed.
• Project, Change, and Work Management Tool Familiarity: Use Jira or similar tools to track incidents, defects, enhancements, change requests, dependencies, ownership, and resolution progress in coordination with Technology and other partner teams.
• Cloud and Data Storage Familiarity: Demonstrate working familiarity with cloud-based storage and data-handling concepts, including AWS S3 buckets where applicable, to support access validation, file movement, issue investigation, and fraud-related data coordination.
• Responsible AI Familiarity: Use AI tools efficiently for drafting, summarization, analysis, documentation, and workflow improvement while distinguishing tasks that can be AI-augmented and avoiding over-dependence for control decisions, sensitive assessments, or final validation.
• Problem Solving, Documentation, and Sound Judgment: Assess system-related issues logically, maintain traceable records of configurations, changes, incidents, and decisions, and uphold confidentiality, integrity, and responsible decision-making in fraud-system operations.

REQUIRED QUALIFICATIONS

• At least 1 year of experience in L1 systems support, technical support, application support, helpdesk operations, fraud operations support, or a similar operational technology support role.
• Basic understanding of incident triage, ticket handling, issue escalation, production support, and service request management in an enterprise or technology-driven environment.
• Working familiarity with Jira, ServiceNow, or similar ticketing/project management tools used to track incidents, defects, requests, ownership, status, and resolution progress.
• Basic familiarity with SQL and Python, with the ability to review logs, job outputs, scripts, or simple queries used to support operational issue validation and coordination.
• Basic understanding of application support concepts, user access administration, file handling, batch jobs, system alerts, and cloud-based storage such as AWS S3 buckets is preferred.
• Exposure to financial services, banking, fintech, fraud operations, AML operations, risk operations, or other regulated technology environments is preferred.
• Strong verbal and written communication skills, with the ability to explain system issues, document findings, provide status updates, and coordinate clearly with technical and non-technical stakeholders.

EDUCATIONAL BACKGROUND

• BS or equivalent degree in Computer Science, Information Technology, Information Systems, Data Science, Computer Engineering, or other related technology fields; degrees in Mathematics, Statistics, or other quantitative disciplines may also be considered.